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AI training for employees: ivee’s live demo of learning in the flow of work

Downloads | AI case studies

AI training for employees works best inside the tools people use every day, says ivee’s Amelia Miller. Businesses are buying AI seats faster than staff learn to use them, so the return never arrives. Miller, ivee’s co-founder and CEO, showed the fix live inside Claude at aiblLIVE London 2026.

In the demo, ivee rewrote a vague board-paper prompt in place and explained each change. The improved prompt made Claude ask questions before writing, at a fraction of the cost. Here is what she showed.

ivee in numbers

  • 100,000 people trained by ivee, across more than 1,000 teams.
  • 21% against 42%: the share of US and UK enterprises seeing a strong AI return without and with training, in a study Miller cited.
  • 14 extra turns follow the average generic first prompt, compared with a highly contextual one.

All figures as stated on stage by Amelia Miller.

Why do AI subscriptions fail to pay back?

Because people do not know how to use them. Miller calls this AI adoption debt: tools move faster than organisations adopt them. If someone has never opened Copilot, that seat returns nothing. ivee’s bet is that training each employee closes the gap, more than strategy alone.

Buying the seats is the easy part, but changing how people work in their everyday is definitely the hard part.

Amelia Miller, Co-Founder and CEO, ivee

What did the live demo show?

A weak prompt fixed before it was sent. Miller asked Claude for a board paper with almost no context, and got a long, unsourced document. ivee then rewrote the prompt. It added a persona, a request to confirm structure first, cited sources, a critical check and rules against AI writing tells.

How does learning in the flow of work change training?

It replaces long courses with help at the moment of use. Each improved prompt shows what changed and why, so people learn as they work. A prompt library lets them reuse and share good prompts. Success is measured by how people’s behaviour changes, beyond course completion.

What can leaders see?

Team stats and shadow AI. Leaders see prompts improved, estimated time and token savings, and which tools staff use. An automation finder flags repeated tasks to automate. A shadow AI view shows unsanctioned tools in use, which may breach data policy.

We don’t want people to just live on their LLMs like a glorified Google chatbot. We want them to be automating.

Amelia Miller, Co-Founder and CEO, ivee

Key takeaways

  • Check AI seats are actually used. An unopened licence returns nothing.
  • Treat prompting as a core skill. Context, audience and model choice all matter.
  • Ask for a plan before a draft. It saves turns, tokens and rework.
  • Watch for shadow AI. Unsanctioned tools are a data risk.

About the speaker

ivee logo

Amelia Miller is co-founder and CEO of ivee, the AI training company she founded in 2024 with her sister Lydia, its CTO. She is also a fellow at the University of Cambridge, studying skills prediction in the labour market. She spoke on the Efficiency track at aiblLIVE London on 20 October 2026.

What’s in the full case study

If your AI licences are live but your returns are not, this is the training model to look at. The full PDF goes deeper than this page, in Miller’s own words.

  • Why AI adoption debt builds up, and the factory lesson from the move to electric power.
  • The live demo, step by step, from a weak prompt to a better, cheaper one.
  • The dashboard: prompt history, shared skills, the automation finder and shadow AI.
  • Five actions to take back to your own organisation.

For L&D leads, HR directors, COOs and anyone responsible for AI rollout. Five pages, about a seven-minute read.

Get a return on your AI seats

AI training for employees: ivee’s live demo of learning in the flow of work
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